Kuan-Chieh Hsu

> At first, 2.2.1. build TensorFlow Lite library on _**Host PC**_. > And then, 2.2.2. copy Tensorflow Lite libraries to _**target Jetson / Raspi.**_ What is the exact path? I...

some details on my test: I tried the following model: ``` input_list = [] conv_list = [] for i in range(fold): input0 = keras.layers.Input(shape=(IN_W, IN_H, IN_C)) input_list.append(input0) conv = Conv2D(filters=OUT_C,...

I face the same problem here. Also, @tml444 how do you know the model takes float32 as inputs on edgeTPU? thanks. [Edit] The same "Model not quantized" situation happens for...

Related issue but no recent update: https://github.com/google-coral/edgetpu/issues/168 ``` converter.experimental_new_converter = False ``` Adding this flag converts my model with this message: (I'm using tf 2.4.1) ``` Edge TPU Compiler version...

I tried to convert mobilenetv2 model into post-training quantized tflite model, and I got the following message: ``` Model successfully compiled but not all operations are supported by the Edge...

> @jk78346 what compiler version are you running? > Have you tried running visualize tool on your model to see it meets all requirements? HI, my edgetpu compiler version is:...

> Looks like you're up to date on your compiler. > Could you try this one, actually? > https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/tools/visualize.py > The reason why I ask this, is because the out...

> @jk78346 bytes type is correct for the model, I'm saving mine in such manor: > > ``` > tflite_model =converter.convert() > out = '/path/to/save/model.tflite' > out.write_bytes(tflite_model) > ``` >...

after some search, I'm not sure if the ``` converter.inference_input_type = tf.uint8 converter.inference_output_type = tf.uint8 ``` actually give quantized input/output type. Because now every intermediate layer seems ok except the...

For preparing .tflite model, I use tf=1.13.1 as well as tflite_convert from command line; when running tf2.0 is used since I want to use delegate.